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Information Journal Paper

Title

Editor's word Interaction between humans and artificial intelligence in knowledge management

Pages

  2-11

Keywords

Not Registered.

Abstract

 Today, extensive progress in information and communication technology has been developed as a driver of organizational change and transformation programs in the literature of knowledge management. Recent advances in deep learning have dramatically improved the capacity of algorithms to simulate human capabilities such as seeing (image recognition), hearing (voice recognition, natural language processing) and decision making (analytical processing) (Duffy, 2019). On the other hand, despite the abundance of data and the increase in computing power, artificial intelligence tools have increasingly found their way into organizational uses (Canhoto & Clear, 2020,Kaplan & Haenlein, 2019). Artificial intelligence tools use different approaches to simulate human intelligence, including supervised machine learning, neural networks, and deep learning. The most effective deep learning algorithms often use a supervised approach in which large amounts of labeled data are used to train the connection strengths between nodes in a massive, layered computational network, using patterns in the training data to make accurate predictions about unseen data. The future is used (Brynjolfsson & Mitchell, 2017). This approach can move away from traditional knowledge management systems, which use symbolic logic and in which rules are expressed and presented to the system by humans (Pushpa, 2019). Since both artificial intelligence and knowledge management are inextricably linked to the nature of students, further advances in artificial intelligence can provide the foundations for changing knowledge management in organizations (Sanzogni et al., 2017). Organizations should investigate the potential roles of new artificial intelligence systems in supporting organizational knowledge management activities due to the intuitive communication between them, and lessons can be learned from traditional knowledge management based on specific rules and regulations. However, given the characteristics of contemporary deep learning as a relatively different method of computing, organizations need a fresh insight into the potential relationship between artificial intelligence and knowledge management,Therefore, organizations need such emerging technologies in performing knowledge management processes and must identify it well. . .

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  • Cite

    APA: Copy

    Tavallaee, Rouhollah. (2023). Editor's word Interaction between humans and artificial intelligence in knowledge management. JOURNAL OF ORGANIZATIONAL KNOWLEDGE MANAGEMENT, 6(20 ), 2-11. SID. https://sid.ir/paper/1050764/en

    Vancouver: Copy

    Tavallaee Rouhollah. Editor's word Interaction between humans and artificial intelligence in knowledge management. JOURNAL OF ORGANIZATIONAL KNOWLEDGE MANAGEMENT[Internet]. 2023;6(20 ):2-11. Available from: https://sid.ir/paper/1050764/en

    IEEE: Copy

    Rouhollah Tavallaee, “Editor's word Interaction between humans and artificial intelligence in knowledge management,” JOURNAL OF ORGANIZATIONAL KNOWLEDGE MANAGEMENT, vol. 6, no. 20 , pp. 2–11, 2023, [Online]. Available: https://sid.ir/paper/1050764/en

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